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Big Data Urbanism, Performance-Based Design and Robotic Fabrication
Performative Design | Online Workshop | English | Europe-Mideast-Africa
Description:
Key Words: Urban Planning,Data Science,Performative Design,Robotics
Required Skills: Beginner Rhino 3D, Beginner Grasshopper 3D
Required Software: Rhino 3D, Grasshopper 3D, QGIS
Required Hardware: PC / Laptop, Good processor (i7), SSD Drive, 16 Gb Ram
Maximum number of participating students: 60
The increasing availability of data has created new opportunities not only for the monitoring and management of cities but also for changing the way we describe, understand and design them, challenging many basic assumptions of design, planning and construction-related professions.

Through an initial introduction to urban analytics, big data visualization and urban dynamic cartographies, during the first part of the workshop attendees will be able to understand the use of big data in urban analytics as well as use QGIS to map urban data such as touristic activities and green areas in the city in an effort to identify public spaces that suffer from a lack of greenery. After identifying these areas in the city, the second part of the workshop will focus on using the information gathered by the urban analysis to propose design performative strategies that could mitigate the negative effects of the lack of greenery in the identified areas of the city. The final part of the workshop will focus on 3d printed urban elements for the public space of these areas, integrating the limits and potential of robotic fabrication with recycled plastic waste.

From big data urban analytics to computational design and finally, to robotic 3d Printing, the attendees will be introduced to circular construction principles in order to develop a series of urban elements for areas in the city that need more greenery and improved microclimatic conditions.

The workshop will conclude with a final roundtable discussion on Big Data Urbanism, Computational Design and Robotics where tutors, students and other participants will have the opportunity to engage and interact in a discussion about the future of urbanism, design and the construction sector.
Schedule:
Jun 26 - Jul 3
  • Day 1 / Jun 26

    13:00 - 17:00 (GMT+2:00) Madrid

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    07:00 - 11:00 (EST)

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    13:00 - 17:00 (CET)

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    19:00 - 23:00 (China)

    Module 1: Session 1 // Intro to the Workshop + Software Demo_Big Data Analytics (4h)
  • Day 2 / Jun 27

    13:00 - 16:00 (GMT+2:00) Madrid

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    07:00 - 10:00 (EST)

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    13:00 - 16:00 (CET)

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    19:00 - 22:00 (China)

    Module 1: Session 2 // Exercise with the students (3h)
  • Day 3 / Jun 28

    13:00 - 16:00 (GMT+2:00) Madrid

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    07:00 - 10:00 (EST)

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    13:00 - 16:00 (CET)

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    19:00 - 22:00 (China)

    Module 2: Session 1 // Theory Intro + Software Demo_Computational Design Tools (3h)
  • Day 4 / Jun 29

    13:00 - 16:00 (GMT+2:00) Madrid

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    07:00 - 10:00 (EST)

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    13:00 - 16:00 (CET)

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    19:00 - 22:00 (China)

    Module 2: Session 2 // Exercise with the students (3h)
  • Day 5 / Jul 1

    13:00 - 16:00 (GMT+2:00) Madrid

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    07:00 - 10:00 (EST)

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    13:00 - 16:00 (CET)

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    19:00 - 22:00 (China)

    Module 3: Session 1 // Theory Intro + Software Demo_Interacting with Robots (3h)
  • Day 6 / Jul 2

    13:00 - 16:00 (GMT+2:00) Madrid

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    07:00 - 10:00 (EST)

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    13:00 - 16:00 (CET)

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    19:00 - 22:00 (China)

    Module 3: Session 1 // Exercise with the students (3h)
  • Day 7 / Jul 3

    13:00 - 16:00 (GMT+2:00) Madrid

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    07:00 - 10:00 (EST)

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    13:00 - 16:00 (CET)

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    19:00 - 22:00 (China)

    Final Session // Round Table Discussion on Advanced Urbanism, Performance-Driven Design, Digital Fabrication and Robotics (2h)
Instructors:
  • Alex Mademochoritis IAAC,Coordinator of MaCT
    Alex Mademochoritis is a Greek-French architect and urban technologist whose investigations focus on the innovative intersection of urbanism and data science for the transformation of urban environments into responsive, human-centered, ecological and intelligent cities.. He holds a degree in Interior Architecture and Design from the Technical Educational Institute of Athens and a Master in City & Technology (MaCT) from the Institute for Advanced Architecture of Catalonia (IAAC). He is coordinator and faculty at IAAC’s MaCT - a master’s program oriented towards redefining the analysis, planning, and design of cities - and member of the IAAC’s Advanced Architecture Group (AAG) - an interdisciplinary research group investigating emerging technologies of information, interaction and manufacturing for the design and transformation of the cities, buildings and public spaces. His research is also actuated as a founding member of the AAG’s Computational Urban Design Research Team, in which he investigates how the combination of big data & computational design can help us not only explore, analyze and evaluate cities but also generate multiple design solutions for the urban environment.
  • Alexandre Dubor IAAC,Director
    Alexandre Dubor is an architect and researcher combining new technologies in an attempt to improve how we build and live in our cities. He holds a Master’s degree in Architecture & Engineering from EAVT & ENPC (France) and a Master’s Degree in Advanced Architecture from IAAC (Spain), with a specialization in robotic fabrication and large-scale additive manufacturing (FabBot 3.0).
  • David Leon IAAC,Director of MaCAD
    David Andres Leon is an architect with focus in the research and development of computational tools for Architecture, Construction and Design. He is Head of Computational Design of the AAG group, Director of the Master in Advanced Computation for Advanced Architecture MACAD and Senior faculty of the faculty of the Masters for Advanced Architecture in IAAC, where he teaches in the Digital Matter studio alongside Areti Markopoulou. David also teaches programing for architects as a guest teacher in the MPDA Masters programme of the UPC. David holds a Master of Science Degree from the Institute for Computational Design and Construction (ICD) in Universitat Stuttgart and a Masters Degree in Advanced Design and Digital Architecture from the Escola Superior de Disseny i Enginyeria de Barcelona (Elisava). He has been involved in several research undertakings of which stand out his participation in German research platform FAT-LAB in Stuttgart and his collaboration as a research assistant in the Centre for Information Technology and Architecture (CITA) for the EU-Horizon 2020 Future and Emerging Technologies Proactive Action project Flora Robotica. David is also the co-author of various publications in the field of architectural research and robotics.